Which is your favourite algorithm and why?

Question

Accepted Answer

My favorite algorithm is Random Forest because of its high accuracy, ability to handle large datasets, and resistance to overfitting.

Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
It is versatile and can be used for both classification and regression tasks.
Random Forest is less prone to overfitting compared to individual decision trees, making it a robust algorithm for various datasets.
It can handle large datasets with high dimensionality and is also capable of handling missing values and outliers effectively.
An example of using Random Forest is in predicting customer churn in a telecom company based on various features like call duration, customer complaints, etc.

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